Triple
T19829477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayce Dutton |
E476416
|
entity |
| Predicate | ethnicConnection |
P194
|
FINISHED |
| Object | through marriage to Native American family |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: through marriage to Native American family | Statement: [Kayce Dutton, ethnicConnection, through marriage to Native American family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicConnection Context triple: [Kayce Dutton, ethnicConnection, through marriage to Native American family]
-
A.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
B.
ethnicComponents
Indicates that an entity is composed of, associated with, or characterized by one or more specified ethnic groups or ethnic origins.
-
C.
relatedEthnicGroup
Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
-
D.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
E.
ethnicAspect
Indicates a relationship where one entity reflects, involves, or characterizes the ethnic background, identity, or attributes of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ccd3748190adeaed9a431f8979 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.